Previous studies have identified and modeled various factors affecting project success in the construction industry. However, in order to design and implement an effective program for achieving project success, it is necessary to integrate all the identified success factors (SFs) and their links to success criteria (SCs) into a single comprehensive model. This was accomplished in this study by using social network analysis, in which 19 SFs and 9 SCs were represented by a comprehensive graphical model. This model was complemented with a cross-impact matrix multiplication applied to classification (MICMAC) analysis in order to classify SFs and SCs in terms of their driving powers and dependence levels. Accordingly, the key factors for project success have been identified as effective project team formation, effective communication, support from top management, clearly defined goals and objectives, and the project manager’s competence.